Bacterial Rheotaxis
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AUV Adaptive Sampling Methods: a Review
applied sciences Review AUV Adaptive Sampling Methods: A Review Jimin Hwang 1 , Neil Bose 2 and Shuangshuang Fan 3,* 1 Australian Maritime College, University of Tasmania, Launceston 7250, TAS, Australia; [email protected] 2 Department of Ocean and Naval Architectural Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada; [email protected] 3 School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China * Correspondence: [email protected] Received: 16 July 2019; Accepted: 29 July 2019; Published: 2 August 2019 Abstract: Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling is one class of intelligent behaviour that allows the vehicle to autonomously make decisions during a mission in response to environment changes and vehicle state changes. Having a closed-loop control architecture, an AUV can perceive the environment, interpret the data and take follow-up measures. Thus, the mission plan can be modified, sampling criteria can be adjusted, and target features can be traced. This paper presents an overview of existing adaptive sampling techniques. Included are adaptive mission uses and underlying methods for perception, interpretation and reaction to underwater phenomena in AUV operations. The potential for future research in adaptive missions is discussed. Keywords: autonomous underwater vehicle(s); maritime robotics; adaptive sampling; underwater feature tracking; in-situ sensors; sensor fusion 1. Introduction Autonomous underwater vehicles (AUVs) are unmanned marine robots. Owing to their mobility and increased ability to accommodate sensors, they have been used for a broad range of oceanographic missions, such as surveying underwater plumes and other phenomena, collecting bathymetric data and tracking oceanographic dynamic features. -
Bimodal Rheotactic Behavior Reflects Flagellar Beat Asymmetry in Human Sperm Cells
Bimodal rheotactic behavior reflects flagellar beat asymmetry in human sperm cells Anton Bukatina,b,1, Igor Kukhtevichb,c,1, Norbert Stoopd,1, Jörn Dunkeld,2, and Vasily Kantslere aSt. Petersburg Academic University, St. Petersburg 194021, Russia; bInstitute for Analytical Instrumentation of the Russian Academy of Sciences, St. Petersburg 198095, Russia; cITMO University, St. Petersburg 197101, Russia; dDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139-4307; and eDepartment of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom Edited by Charles S. Peskin, New York University, New York, NY, and approved November 9, 2015 (received for review July 30, 2015) Rheotaxis, the directed response to fluid velocity gradients, has whether this effect is of mechanical (20) or hydrodynamic (21, been shown to facilitate stable upstream swimming of mamma- 22) origin. Experiments (23) show that the alga’s reorientation lian sperm cells along solid surfaces, suggesting a robust physical dynamics can lead to localization in shear flow (24, 25), with mechanism for long-distance navigation during fertilization. How- potentially profound implications in marine ecology. In contrast ever, the dynamics by which a human sperm orients itself relative to taxis in multiflagellate organisms (2, 5, 18, 26, 27), the navi- to an ambient flow is poorly understood. Here, we combine micro- gation strategies of uniflagellate cells are less well understood. fluidic experiments with mathematical modeling and 3D flagellar beat For instance, it was discovered only recently that uniflagellate reconstruction to quantify the response of individual sperm cells in marine bacteria, such as Vibrio alginolyticus and Pseudoalteromonas time-varying flow fields. Single-cell tracking reveals two kinematically haloplanktis, use a buckling instability in their lone flagellum to distinct swimming states that entail opposite turning behaviors under change their swimming direction (28). -
A Hybrid Computational Model for Collective Cell Durotaxis
Biomechanics and Modeling in Mechanobiology https://doi.org/10.1007/s10237-018-1010-2 ORIGINAL PAPER A hybrid computational model for collective cell durotaxis Jorge Escribano1 · Raimon Sunyer2,5 · María Teresa Sánchez3 · Xavier Trepat2,4,5,6 · Pere Roca-Cusachs2,4 · José Manuel García-Aznar1 Received: 13 September 2017 / Accepted: 17 February 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Collective cell migration is regulated by a complex set of mechanical interactions and cellular mechanisms. Collective migration emerges from mechanisms occurring at single cell level, involving processes like contraction, polymerization and depolymerization, of cell–cell interactions and of cell–substrate adhesion. Here, we present a computational framework which simulates the dynamics of this emergent behavior conditioned by substrates with stiffness gradients. The computational model reproduces the cell’s ability to move toward the stiffer part of the substrate, process known as durotaxis. It combines the continuous formulation of truss elements and a particle-based approach to simulate the dynamics of cell–matrix adhesions and cell–cell interactions. Using this hybrid approach, researchers can quickly create a quantitative model to understand the regulatory role of different mechanical conditions on the dynamics of collective cell migration. Our model shows that durotaxis occurs due to the ability of cells to deform the substrate more in the part of lower stiffness than in the stiffer part. This effect explains why cell collective movement is more effective than single cell movement in stiffness gradient conditions. In addition, we numerically evaluate how gradient stiffness properties, cell monolayer size and force transmission between cells and extracellular matrix are crucial in regulating durotaxis. -
Mathematical Modelling and Analysis of Aspects of Planktonic Bacterial Motility
Mathematical modelling and analysis of aspects of planktonic bacterial motility Gabriel Aaron Rosser St Anne's College University of Oxford A thesis submitted for the degree of Doctor of Philosophy Michaelmas 2012 Contents 1 The biology of bacterial motility and taxis 8 1.1 Bacterial motility and taxis . .8 1.2 Experimental methods used to probe bacterial motility . 14 1.3 Tracking . 20 1.4 Conclusion and outlook . 21 2 Mathematical methods and models of bacterial motility and taxis 23 2.1 Modelling bacterial motility and taxis: a multiscale problem . 24 2.2 The velocity jump process . 34 2.3 Spatial moments of the general velocity jump process . 46 2.4 Circular statistics . 49 2.5 Stochastic simulation algorithm . 52 2.6 Conclusion and outlook . 54 3 Analysis methods for inferring stopping phases in tracking data 55 3.1 Analysis methods . 58 3.2 Simulation study comparison of the analysis methods . 76 3.3 Results . 80 3.4 Discussion and conclusions . 86 4 Analysis of experimental data 92 4.1 Methods . 92 i 4.2 Results . 109 4.3 Discussion and conclusions . 124 5 The effect of sampling frequency 132 5.1 Background and methods . 133 5.2 Stationary distributions . 136 5.3 Simulation study of dynamic distributions . 140 5.4 Analytic study of dynamic distributions . 149 5.5 Discussion and conclusions . 159 6 Modelling the effect of Brownian buffeting on motile bacteria 162 6.1 Background . 163 6.2 Mathematical methods . 166 6.3 A model of rotational diffusion in bacterial motility . 173 6.4 Results . 183 6.5 Discussion and conclusion . -
Thermotaxis Is a Robust Mechanism for Thermoregulation in Caenorhabditis Elegans Nematodes
12546 • The Journal of Neuroscience, November 19, 2008 • 28(47):12546–12557 Behavioral/Systems/Cognitive Thermotaxis is a Robust Mechanism for Thermoregulation in Caenorhabditis elegans Nematodes Daniel Ramot,1* Bronwyn L. MacInnis,2* Hau-Chen Lee,2 and Miriam B. Goodman1,2 1Program in Neuroscience and 2Department of Molecular and Cellular Physiology, Stanford University, Stanford, California 94305 Many biochemical networks are robust to variations in network or stimulus parameters. Although robustness is considered an important design principle of such networks, it is not known whether this principle also applies to higher-level biological processes such as animal behavior. In thermal gradients, Caenorhabditis elegans uses thermotaxis to bias its movement along the direction of the gradient. Here we develop a detailed, quantitative map of C. elegans thermotaxis and use these data to derive a computational model of thermotaxis in the soil, a natural environment of C. elegans. This computational analysis indicates that thermotaxis enables animals to avoid temperatures at which they cannot reproduce, to limit excursions from their adapted temperature, and to remain relatively close to the surface of the soil, where oxygen is abundant. Furthermore, our analysis reveals that this mechanism is robust to large variations in the parameters governing both worm locomotion and temperature fluctuations in the soil. We suggest that, similar to biochemical networks, animals evolve behavioral strategies that are robust, rather than strategies that rely on fine tuning of specific behavioral parameters. Key words: behavior; C. elegans; temperature; neuroethology; computational models; robustness Introduction model to investigate the ability of thermotaxis to regulate Tb and its robustness to genetic and environmental perturbation. -
Real-Time Monitoring for Toxicity Caused by Harmful Algal Blooms and Other Water Quality Perturbations EPA/600/R-01/103 November 2001
United States Office of Research and EPA/600/R-01/103 Environmental Protection Development November 2001 Agency Washington, DC 20460 Real-Time Monitoring for Toxicity Caused By Harmful Algal Blooms and Other Water Quality Perturbations EPA/600/R-01/103 November 2001 Real-Time Monitoring for Toxicity Caused By Harmful Algal Blooms and Other Water Quality Perturbations National Center for Environmental Assessment-Washington Office Office of Research and Development U.S. Environmental Protection Agency Washington, DC DISCLAIMER This document has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. ABSTRACT This project, sponsored by EPA’s Environmental Monitoring for Public Access and Community Tracking (EMPACT) program, evaluated the ability of an automated biological monitoring system that measures fish ventilatory responses (ventilatory rate, ventilatory depth, and cough rate) to detect developing toxic conditions in water. In laboratory tests, acutely toxic levels of both brevetoxin (PbTx-2) and toxic Pfiesteria piscicida cultures caused fish responses primarily through large increases in cough rate. In the field, the automated biomonitoring system operated continuously for 3 months on the Chicamacomico River, a tributary to the Chesapeake Bay that has had a history of intermittent toxic algal blooms. Data gathered through this effort complemented chemical monitoring data collected by the Maryland Department of Natural Resources (DNR) as part of their pfiesteria monitoring program. After evaluation by DNR personnel, the public could access the data at a DNR Internet website, (www.dnr.state.md.us/bay/pfiesteria/00results.html), or receive more detailed information at aquaticpath.umd.edu/empact. -
The Behavior of Fishes by Antonios Pappantoniou
The Behavior of Fishes by Antonios Pappantoniou I. A GENERAL OVERVIEW OF FISH BEHAVIOR This article is the first in a series of articles on the behavior of North American freshwater fishes. Althou~h this first ~rticle will not stress any species in particular, each !~ture article will focus on the behavior of a single species or group of closely related fishes. It is the intent of the articles to supply the readers with a knowledge of fish behavior so that they may better understand and enjoy their aquarium fishes. The articles will draw on information from the scien tific literat~re and the authors' own observations. The behavior of fishes is very much dictated by their environment. Two factors, temperature and light, are probably the most critical environmental factors control ling fish behavior. Fish are classed as ectothermic animals. Ectothermic means they must rely on outside sources of he~r. to maintain their body temperature. Temperature governs biochemical and physiological activities which in turn control fish behavior. The preferred te~perature of fish varies with the species. Fish species adapted to swift-flowing streams prefer cooler temperatures than those species adapted to life in a small pond. Temperatures may fluctuate on a daily or seasonal basis. Daily fluctuations, especially in the s~~er months, can cause onshore - offshore movements in species of lake fish. Seasonal changes in temperature are partly responsible for initiati~g physiological changes which lead to reproductive activity in fish. Light is the other critical environmental factor controlling fish behavior. 1 fish may be diurnal. Such a fish would be active during the day. -
Chapter 51 Animal Behavior
Chapter 51 Animal Behavior Lecture Outline Overview: Shall We Dance? • Red-crowned cranes (Grus japonensis) gather in groups to dance, prance, stretch, bow, and leap. They grab bits of plants, sticks, and feathers with their bills and toss them into the air. • How does a crane decide that it is time to dance? In fact, why does it dance at all? • Animal behavior is based on physiological systems and processes. • An individual behavior is an action carried out by the muscular or hormonal system under the control of the nervous system in response to a stimulus. • Behavior contributes to homeostasis; an animal must acquire nutrients for digestion and find a partner for sexual reproduction. • All of animal physiology contributes to behavior, while animal behavior influences all of physiology. • Being essential for survival and reproduction, animal behavior is subject to substantial selective pressure during evolution. • Behavioral selection also acts on anatomy because body form and appearance contribute directly to the recognition and communication that underlie many behaviors. Concept 51.1: A discrete sensory input is the stimulus for a wide range of animal behaviors. • An animal’s behavior is the sum of its responses to external and internal stimuli. Classical ethology presaged an evolutionary approach to behavioral biology. • In the mid-20th century, pioneering behavioral biologists developed the discipline of ethology, the scientific study of how animals behave in their natural environments. • Niko Tinbergen, of the Netherlands, suggested four questions that must be answered to fully understand any behavior. 1. What stimulus elicits the behavior, and what physiological mechanisms mediate the response? 2. -
Resisting Flow – Laboratory Study of Rheotaxis of the Estuarine Copepod Pseudodiaptomus Annandalei Xu Shanga,B, Guizhong Wanga* and Shaojing Lia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Xiamen University Institutional Repository Marine and Freshwater Behaviour and Physiology Vol. 41, No. 2, June 2008, 109–124 Resisting flow – laboratory study of rheotaxis of the estuarine copepod Pseudodiaptomus annandalei Xu Shanga,b, Guizhong Wanga* and Shaojing Lia aDepartment of Oceanography, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, PR China; bSchool of Environmental and Public Health, Wenzhou Medical College, Wenzhou, PR China (Received 1 May 2007; final version received 7 January 2008) Rheotaxis is a ubiquitous phenomenon among aquatic animals and thought to be an adaptation to maintain populations in flowing waters. While many estuarine copepods can retain their populations in estuaries with net seaward flow, rheotaxis of individual copepods has not been reported before. In this study, the behavior of a calanoid copepod Pseudodiaptomus annandalei in flow was examined in a recirculating laboratory flume. This estuarine copepod displayed different responses to ambient flow fields while swimming in the water column or attaching to the flume bed (walls). Copepods in the water column showed vigorous countercurrent swimming by occasional bounding when flow velocity was increased up to 2.1 cm sÀ1, but none of the individuals in the water column were retained in the flume when flow speeds were higher than 4 cm sÀ1. This indicates P. annandalei profits little from rheotaxis to withstand flow when they were swimming in the water column. Instead, more individuals attempted sinking downwards to the slow flow region near the flume bed (walls) and showed active substrate attachment to avoid being flushed out by the high-velocity channel flow. -
AP Biology Lab 11: Roly Poly Enhanced Interrogation Animal
AP Biology Lab 11: Roly Poly Enhanced Interrogation Animal Behavior1 Overview In this lab you will observe the behavior of pill bugs and design an experiment to investigate their responses to environmental variables. Objectives Before doing this lab you should understand: 1. The concept of distribution of organisms in a resource gradient, and 2. The difference between kinesis and taxis. After doing this lab you should be able to: 1. describe some aspects of animal behavior, such as orientational behavior, agonistic behavior, dominance display, or mating behavior, and 2. Understand the adaptiveness of the behaviors you studied. 3. How to quantitively analyze your results using chi-square. Introduction Ethology is the study of animal behavior. Behavior is an animal’s response to sensory input and falls into two basic categories: learned and innate (inherited). Orientation behaviors place the animal in its most favorable environment. In taxis, the animal moves toward or away from a stimulus. Taxis are often exhibited when the stimulus is light, heat, moisture, sound, or chemicals. Kinesis is a movement that is random and does not result in orientation with respect to a stimulus. If an organism responds to bright light by moving away, that is taxis. If an organism responds to bright light by random movements in all directions, that is kinesis. Agonistic behavior is exhibited when animals respond to each other by aggressive or submissive responses. Often the agonistic behavior is simply a display that makes the organism look big or threatening. It is sometimes studied in the laboratory with Bettas (Siamese fighting fish). Mating behaviors may involve a complex series of activities that facilitate finding, courting, and mating with a member of the same species. -
Metabolism-Dependent Taxis and Control of Motility in Pseudomonas Putida
Metabolism-dependent taxis and control of motility in Pseudomonas putida Sofia Österberg Department of Molecular Biology Umeå University Umeå 2013 This work is protected by the Swedish Copyright Legislation (Act 1960:729) ISBN: 978-91-7459-563-5 Cover picture: Electron microscopy image of Pseudomonas putida KT2440 Electronic version available at http://umu.diva-portal.org/ Printed by: Department of Chemistry Printing Service, Umeå University Umeå, Sweden 2013 Till min familj CONTENTS CONTENTS .................................................................................................. I ABSTRACT................................................................................................ III ABBREVIATIONS ....................................................................................... IV LIST OF PUBLICATIONS .............................................................................. V SAMMANFATTNING PÅ SVENSKA .............................................................. VI 1. INTRODUCTION .................................................................................. 1 1.1 BACTERIAL ADAPTATION ........................................................................ 1 1.2 BACTERIAL TRANSCRIPTION .................................................................... 1 1.2.1 RNA polymerase – the molecular machinery ................................. 1 1.2.2 σ-factors – the specificity components ......................................... 2 1.2.3 The transcriptional process from start to finish ............................ -
Ontogeny of Orientation During the Early Life History of the Pelagic Teleost Mahi-Mahi, Coryphaena Hippurus Linnaeus, 1758
Article Ontogeny of Orientation during the Early Life History of the Pelagic Teleost Mahi-Mahi, Coryphaena hippurus Linnaeus, 1758 Robin Faillettaz 1,2,* , Eve Johnson 1, Patrick Dahlmann 1, Alexandra Syunkova 1, John Stieglitz 3, Daniel Benetti 3, Martin Grosell 1 and Claire B. Paris 1,* 1 Department of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, FL 33149, USA; [email protected] (E.J.); [email protected] (P.D.); [email protected] (A.S.); [email protected] (M.G.) 2 Ifremer, STH, Station de Lorient, 8 rue François Toullec, F-56100 Lorient, France 3 Department of Marine Ecosystems and Society, University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, FL 33149, USA; [email protected] (J.S.); [email protected] (D.B.) * Correspondence: [email protected] (R.F.); [email protected] (C.B.P.) Received: 6 July 2020; Accepted: 29 September 2020; Published: 8 October 2020 Abstract: Understanding the orientation behavior and capabilities in early life history (ELH) of fishes is critical for studying their dispersal but has, surprisingly, never been tested in any pelagic species. We here investigate the ontogeny of orientation and swimming abilities of the pelagic Coryphaena hippurus Linnaeus, 1758 larvae, hereafter mahi-mahi, through their ELH stages using the Drifting In Situ Chamber (DISC) in a laboratory setup. The DISC was deployed in a large (3 m3) circular aquarium in order to control the stimulus perceived by the fish and to identify behavioral response at the individual, developmental stage, and population levels.